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Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study

Epileptic seizure is typically characterized by highly synchronized episodes of neural activity. Existing stimulation therapies focus purely on suppressing the pathologically synchronized neuronal firing patterns during the ictal (seizure) period. While these strategies are effective in suppressing...

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Detalles Bibliográficos
Autores principales: Schmalz, Joseph, Quinarez, Rachel V., Kothare, Mayuresh V., Kumar, Gautam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336226/
https://www.ncbi.nlm.nih.gov/pubmed/37449082
http://dx.doi.org/10.3389/fncom.2023.1084080
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author Schmalz, Joseph
Quinarez, Rachel V.
Kothare, Mayuresh V.
Kumar, Gautam
author_facet Schmalz, Joseph
Quinarez, Rachel V.
Kothare, Mayuresh V.
Kumar, Gautam
author_sort Schmalz, Joseph
collection PubMed
description Epileptic seizure is typically characterized by highly synchronized episodes of neural activity. Existing stimulation therapies focus purely on suppressing the pathologically synchronized neuronal firing patterns during the ictal (seizure) period. While these strategies are effective in suppressing seizures when they occur, they fail to prevent the re-emergence of seizures once the stimulation is turned off. Previously, we developed a novel neurostimulation motif, which we refer to as “Forced Temporal Spike-Time Stimulation” (FTSTS) that has shown remarkable promise in long-lasting desynchronization of excessively synchronized neuronal firing patterns by harnessing synaptic plasticity. In this paper, we build upon this prior work by optimizing the parameters of the FTSTS protocol in order to efficiently desynchronize the pathologically synchronous neuronal firing patterns that occur during epileptic seizures using a recently published computational model of neocortical-onset seizures. We show that the FTSTS protocol applied during the ictal period can modify the excitatory-to-inhibitory synaptic weight in order to effectively desynchronize the pathological neuronal firing patterns even after the ictal period. Our investigation opens the door to a possible new neurostimulation therapy for epilepsy.
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spelling pubmed-103362262023-07-13 Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study Schmalz, Joseph Quinarez, Rachel V. Kothare, Mayuresh V. Kumar, Gautam Front Comput Neurosci Neuroscience Epileptic seizure is typically characterized by highly synchronized episodes of neural activity. Existing stimulation therapies focus purely on suppressing the pathologically synchronized neuronal firing patterns during the ictal (seizure) period. While these strategies are effective in suppressing seizures when they occur, they fail to prevent the re-emergence of seizures once the stimulation is turned off. Previously, we developed a novel neurostimulation motif, which we refer to as “Forced Temporal Spike-Time Stimulation” (FTSTS) that has shown remarkable promise in long-lasting desynchronization of excessively synchronized neuronal firing patterns by harnessing synaptic plasticity. In this paper, we build upon this prior work by optimizing the parameters of the FTSTS protocol in order to efficiently desynchronize the pathologically synchronous neuronal firing patterns that occur during epileptic seizures using a recently published computational model of neocortical-onset seizures. We show that the FTSTS protocol applied during the ictal period can modify the excitatory-to-inhibitory synaptic weight in order to effectively desynchronize the pathological neuronal firing patterns even after the ictal period. Our investigation opens the door to a possible new neurostimulation therapy for epilepsy. Frontiers Media S.A. 2023-06-28 /pmc/articles/PMC10336226/ /pubmed/37449082 http://dx.doi.org/10.3389/fncom.2023.1084080 Text en Copyright © 2023 Schmalz, Quinarez, Kothare and Kumar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Schmalz, Joseph
Quinarez, Rachel V.
Kothare, Mayuresh V.
Kumar, Gautam
Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
title Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
title_full Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
title_fullStr Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
title_full_unstemmed Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
title_short Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
title_sort controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336226/
https://www.ncbi.nlm.nih.gov/pubmed/37449082
http://dx.doi.org/10.3389/fncom.2023.1084080
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